Curtin Theses
Recent Submissions
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(2025)This PhD project investigates the preclinical safety, efficacy, and pharmacokinetics (PK) features of novel GPR119 agonists, ps297 and ps318, for metabolic disorders. Both investigational compounds act as GLP-1 secretagogues, ...
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(2024)This thesis examines risk and protective factors for Western Australian farmers' mental health using a longitudinal and mixed methods approach. It highlights the significance of family relationships, financial and external ...
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(2025)Two main risk factors for Alzheimer’s Disease are the APOE4 gene and a diet high in saturated fat. Additionally, the protein amyloid-beta is a primary pathological characteristic of Alzheimer’s Disease. This thesis ...
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(2025)Traditional teaching methods in Indonesia remain entrenched, with a strong emphasis on content knowledge, often at the expense of fostering students’ skills. This study examined the impact of a STEM-Problem-Based Learning ...
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(2024)Decarbonisation of the organic chemical industry necessitates the transition from thermochemical processes to electro-organic manufacturing, which is more compatible with renewables. However, the transition is difficult ...
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(2024)The halophile was identified as Marinobacter sp that could degrade about 70% ibuprofen (IBU) at a concentration of 50 mg L-1 and above 30% bisphenol A (BPA) at a concentration of 20 mg L-1 within five weeks at 8% NaCl. ...
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(2024)Drawing on case studies from the Marvel, DC and Star Wars franchises and interviews with leading entertainment industry practitioners, this research interrogates the various approaches to commercial transmedia storytelling ...
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(2024)Peripheral Metabolism of Lipoprotein-amyloid Beta as a Risk Factor for Diabetes-induced Alzheimer's Disease and the Therapeutic Effects of Probucol and its Analogue
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(2025)This research investigated the applicability of bagging and boosting ensemble machine learning algorithms in predicting petrophysical properties, namely porosity, permeability and water saturation which is a vital aspect ...
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(2022)The Bayesian learning model developed in this research addressed a need for technology by which complex industry datasets may be synthesised and represents a fundamentally novel approach to this problem than those previously ...